Democratising design through surrogate model convolutional neural networks of computer aided design repositories

James Gopsill, Sean Jennings

Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

Abstract

The capability to manufacture at home is continually increasing with technologies, such as 3D printing. However, the ability to design products suitable for manufacture and use remains a highly-skilled and knowledge intensive activity. This has led to ‘content creators’ providing vast repositories of manufacturable products for society, however challenges remain in the search & retrieval of models. This paper presents the surrogate model convolutional neural networks approach to search and retrieve CAD models by mapping them directly to their real-world photographed counterparts.
Original languageEnglish
Title of host publicationInternational Conference on DESIGN
Publication statusAcceptance date - 11 Feb 2020

Fingerprint

Dive into the research topics of 'Democratising design through surrogate model convolutional neural networks of computer aided design repositories'. Together they form a unique fingerprint.

Cite this